Designing an ontology of the e-learning course content

Designing an ontology of the e-learning course content

Автор: Solovov A.V., Menshikova A.A.

Журнал: Онтология проектирования @ontology-of-designing

Рубрика: Прикладные онтологии проектирования

Статья в выпуске: 1 (47) т.13, 2023 года.

Бесплатный доступ

Knowledge modeling, closely related to ontologies, is an important semantic technology and research area. The article deals with the e-learning course content model concept. The content model is based on structuring the content into separate fragments, called learning elements. These learning elements integrate into a tree directed graph. The content model is defined as a combination of such a graph and a table of attributes of educational elements with requirements for didactic indicators of their study. The rules for building models of the electronic educational content are formulated. The mathematical properties of these models are discussed and their integral characteristics are introduced. The proposed approach to content modeling is in line with the SCORM specifications for international e-learning, complements them with targets, didactic design algorithms and analysis of educational materials. Formation algorithms and methods of presenting the content model make it possible to automate the process of its construction and didactic analysis in the form of a visual interactive dialogue between developers of electronic educational resources in instrumental author's environments.

Еще

E-learning, electronic educational resources, structuring of educational material, content model, tree-oriented graphs

Короткий адрес: https://sciup.org/170198113

IDR: 170198113   |   DOI: 10.18287/2223-9537-2023-13-1-99-112

Список литературы Designing an ontology of the e-learning course content

  • Ontology Summit 2020: Knowledge Graphs [In Russian]. Ontology of Designing. 2020; 10(2): 246-248.
  • Gavrilova TA, Strakhovich EV. Visual analytical thinking and mind maps for ontology engineering [In Russian]. Ontology of designing. 2020; 10(1): 87-99. DOI: 10.18287/2223-9537-2020-10-1-87-99.
  • Mouromtsev D. Models and methods of e-learning individualization in the context of ontological approach [In Russian]. Ontology of designing. 2020; 10(1): 34-49. DOI: 10.18287/2223-9537-2020-10-1-34-49.
  • Solovov AV, Menshikova AA. Discrete mathematical models in the study of automated learning processes. [In Russian]. Information technologies. 2001; 12: 43-48.
  • Silkina N.S., Sokolinsky L.B. Structural-Hierarchical Didactic Model of E-Learning. [In Russian]. Bulletin of the South Ural State University. Series: Computational Mathematics and Software Engineering. 2019; 8(4): 56-83. DOI: 10.14529/cmse190405.
  • Osin AV. Multimedia in Education: The Context of Informatization [In Russian]. Moscow: Agency «Izdatel'skii service». 2004. 420 p.
  • AICC - Aviation Industry CBT Committee. https://en.wikipedia.org/wiki/Aviation_Industry_Computer-Based_Training_Committee.
  • IMS - Instructional Management System. https://www. 1edtech.org/.
  • ADL - Advanced Distributed Learning. https://adlnet.gov//.
  • Silkina NS, Sokolinsky LB. Models and standards of e-learning [In Russian]. Bulletin of South Ural State University. Series: Computational Mathematics and Informatics. 2014; 3(4): 5-35. DOI 10.14529/cmse140401.
  • Zimin IV. Recommendations for the preparation of content and structuring of an electronic training resource. [In Russian]. National Open University "INTUIT". 2016. 102 p.
  • SCORM - Sharable Content Object Reference Model. SCORM solved and explained. https://scorm.com/.
  • 1EDTECH. https://www.1edtech.org/.
  • Bespalko VP. Fundamentals of the theory of pedagogical systems [In Russian]. Voronezh: Voronezh University Press. 1977. 303 p.
  • Belkin EL. Didactic foundations of control of cognitive activity in the conditions of application of technical means of teaching. [In Russian]. Yaroslavl: Verkhne-Volzhskoe knizhnoe izdatelstvo. 1982. 107 p.
  • SolovovAV. Design of computer systems for educational purpose: a textbook. [In Russian]. Samara: SSAU. 1995. 140 p.
  • Anderson LW, Krathwohl DR. A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives. New York: Longman. 2001. 352 p.
  • Roberts FS. Discrete mathematical models with applications to social, biological and environmental problems. Englewood Cliffs, NJ: Prentice-Hall, Inc.; 1976. 560 p. (Russ. ed.: Roberts F.S. Diskretnye matematicheskie modeli s prilozheniyami k sotsial'nym, biologicheskim i ekologicheskim zadacham. Moscow: Nauka; 1986. 494 p.).
  • Menshikova AA, Solovov AV. Author's toolkit of the CADIS system [In Russian]. Unified educational information environment: electronic periodical. 2003. № 1.
  • Solovov AV. «Gold Cells» of Virtual Learning Environments. [In Russian]. Vysshee obrazovanie v Rossii = Higher Education in Russia. 2012; 11: 133-137.
  • Solovov AV, Menshikova AA. Models for the Design and Operation of Digital Educational Environments. [In Russian]. Vysshee obrazovanie v Rossii = Higher Education in Russia. 2021; 30(1): 144-155. DOI: 10.31992/0869-3617-2021-30-1-144-155.
  • Solovov AV. E-learning: problems, didactics, technology. [In Russian]. Samara: New Engineering, 2006. 464 p.
  • Solovov AV. Modeling the structure of electronic educational resources. [In Russian]. Information technologies. 2007; 3: 43-48.
  • Kukharenko SP, Dzyubenko OL, Solovov AV, Menshikova AA. Formation of an electronic information and educational environment for engineering analysis in a military university. Part 2. 2nd edition, corrected and enlarged. [In Russian]. Moscow: Limited Liability Company "Rusins". 2022. 170 p.
Еще
Статья научная
QR-код для установки приложения SciUp Наведите камеру и скачайте бесплатное приложение SciUp